Wei Cheng


Researcher
Data Science

NEC Laboratories America, Inc.
4 Independence Way, Suite 200
Princeton, NJ  08540
Fax: +1 609-951-2482
 
Email: weicheng "AT" nec-labs.com
Homepage: cs.unc.edu/~weicheng
  • Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.
    Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang.
    In Poceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(SIGKDD), San Francisco, 2016. To appear.
  • A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects.
    Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC-SCZ).
    bioRxiv, 2016.
  • Robust Framework on Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
    Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang.
    Knowledge and Information Systems (KAIS), 2016. (Joint First Author, one of the best papers in ICDM'15 selected to KAIS journal)
  • Sparse Regression Models for Unraveling Group and Individual Associations in eQTL Mapping. 
    Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang.
    BMC Bioinformatics. 2016. (PDF)(Appendix)
  • CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. 
    Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang. 
    Transactions on Knowledge Discovery from Data (TKDD), 2016. (PDF)
  • Robust Methods for Expression Quantitative Trait Loci Mapping. 
    Wei Cheng, Xiang Zhang, Wei Wang.
    Big Data Analytics in Genomics. Springer (New York), 2016. (PDF)
  • Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. 
    Wei Cheng.
    Ph.D. Thesis, University of North Carolina at Chapel Hill, 2015. (PDF)
  • Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
    Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang. 
    Proceedings of the IEEE International Conference on Data Mining (ICDM), 2015. (paper) (Joint First Author,Best Paper Nomination)
  • HICC: An Entropy Splitting Based Framework for Hierarchical Co-Clustering.
    Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang. 
    Knowledge and Information Systems(KAIS), 2015. (paper)(code)
  • Fast and Robust Group-Wise eQTL Mapping Using Sparse Graphical Models.
    Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang.
    BMC Bioinformatics , 2015.(paper)
  • Biological Insights From 108 Schizophrenia-Associated Genetic Loci.
    Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC-SCZ).
    Nature, 2014. (paper).
  • Graph Regularized Dual Lasso for Robust eQTL Mapping. 
    Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang.
    In Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) , 2014, (paper)(slides)(code).
  • Flexible and Robust Co-Regularized Multi-Domain Graph Clustering.
    Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick Sullivan and Wei Wang.
    In Poceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, 2013.(PDF) (slides) (poster)(matlab code&data)(C++ code).
  • Searching Dimension Incomplete Databases.
    Wei Cheng, Xiaoming Jin, Jiantao Sun, Xuemin Lin, Xiang Zhang, Wei Wang.
    Transactions on Knowledge and Data Engineering (TKDE), 2013. (PDF)
  • Grid-based Clustering.
    Wei Cheng, Wei Wang, Sandra Batista. 
    In "Data Clustering: Algorithms and Applications"(Eds: Charu C. Aggarwal, Chandan K. Reddy), Chapter 6, CRC Press, 2012. (PDF)
  • Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model.
    Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman and Wei Wang. 
    In Proceedings of the third ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, Florida 2012. (PDF) (Slides)
  • Hierarchical Co-Clustering Based on Entropy Splitting.
    Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang.
    In Proceedings of the 21st ACM Conference on Information and Knowledge Management (ACM CIKM 2012), Maui, HI 2012. (PDF)(CODE) (Slides)
  • Learning transcriptional regulatory relationship using sparse graphical models.
    Xiang Zhang, Wei Cheng, Jennifer Listgarten, Carl Kadie, Shunping Huang, Wei Wang, David Heckerman.
    PLoS One , 2012. (PDF) (Joint First Author)
  • Dual Transfer Learning.
    Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang . 
    In Proceedings of the 12th SIAM International Conference on Data Mining (SIAM SDM 2012). Anaheim, CA USA, April 2012. (PDF) (slides)(Best Paper Nomination)
  • Measuring Opinion Relevance in Latent Topic Space.
    Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-chung Kum, Xiang Zhang, Wei Wang
    In Proceedings of the Third IEEE International Conference on Social Computing (IEEE SocialCom 2011) MIT, MA USA, 2011. (PDF) (Slides)
  • Transfer Learning via Cluster Correspondence Inference.
    Mingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin WangDou Shen.
    In Proceedings of the 10th IEEE International Conference on Data Mining (IEEE ICDM 2010 ). Sydney, Australia, December 2010. (PDF) (Slides)
  • Probabilistic Similarity Query on Dimension Incomplete Data,
    Wei Cheng, Xiaoming Jin, Jian-Tao Sun.
    In Proceedings of the 9th IEEE International Conference on Data Mining (IEEE ICDM 2009). Florida, Miami, December 2009. (PDF) (Slides)